Data Engineer at ACCUDATA

Kirkland, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, Data Integration, ETL Development, SQL Query Design, SQL Performance Tuning, Data Warehouse Design, Programming Skills, Analytical Skills, Problem-Solving Skills, Performance Tuning, Data Quality, Data Accuracy, Data Consistency, Big Data, Relational Data Warehouse, Data Architecture

Industry

Advertising Services

Description

Description Deep Sync is the industry leader in deterministic identity. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers. Position Overview We are looking for a Data Engineer with a strong background in data engineering. The ideal candidate will play a critical role in designing, developing, and maintaining our data infrastructure. Key Responsibilities: Data Pipeline Development: Design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources. Ensure data quality, accuracy, and consistency throughout the pipeline. Data Integration: Work closely with cross-functional teams to integrate data from diverse sources, including databases, APIs, and external data providers. Develop and maintain ETL processes to transform and enrich raw data into actionable insights. Performance Tuning: Monitor and optimize the performance of data pipelines and databases to meet business requirements. Identify and resolve bottlenecks and performance issues. Requirements 3+ years experience in SQL Query Design, SQL Performance Tuning and Query Optimization. 3+ years of relevant experience in Data Warehouse Design, Data Warehouse Technical Architectures, Development and Implementation. 3+ years of relevant experience in ETL Development, ETL Implementation, Unit Testing, Troubleshooting and Support of ETL Processes. Proficiency in SQL Query Design and Implementation. Strong Experience with Relational Data Warehouse Systems. Data Warehouse Management Systems. Optimization by Indexing, Partitioning and Denormalization. Strong Ability to build and optimize data sets, ‘big data’ data pipelines and architecture. Programming skills in languages such as Python, Java, or C# required. Leverage AI dev tools (e.g., Co-pilot, Replit, Devin, Cursor) Strong analytical and problem-solving skills. Location: Kirkland, WA (Preferred). This role requires in-office presence for the first six months. After that, a hybrid schedule is available—typically remote on Mondays and Fridays, with in-office presence Tuesday through Thursday, subject to manager discretion. We are registered to do business and can consider candidates whose permanent residence is in one of the following states: California, Colorado, Florida, Georgia, Missouri, New York, Oregon, South Carolina, Tennessee, Texas, and Washington. Please note: We are not accepting relocation candidates at this time. Candidates must reside in one of the states listed above as their permanent residence. Commuting from an unregistered state is not permitted. Benefits: Flexible Time Off and Paid Holidays Medical/Vision/Dental Insurance, Voluntary Life & AD&D Insurance, Short-Term & Long-Term Disability, Critical Illness & Accident Insurance 401(k) with employer matching Hybrid with flexible work schedule Please Contact: Human Resources | hr@deepsync.com Equal Opportunity Employer: Deep Sync provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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Responsibilities

The Data Engineer will design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources. They will also work closely with cross-functional teams to integrate data and develop ETL processes to transform raw data into actionable insights.